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Tier-1 employer, Bangalore location, and broad skill requirements increase competition despite niche specialization.
Skills are moderately transferable across enterprise tech and SaaS, but domain-specific partner enablement raises sensitivity.
Specialized AI, RAG, and enterprise partner enablement requirements create moderately strict shortlisting.
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Design and architect globally scalable partner readiness frameworks aligned with partner roles and business objectives for Everpure's partner ecosystem.
Translate complex product and solution knowledge into modular, AI-ready learning assets usable across multiple delivery channels including instructor-led, digital, microlearning, and conversational AI.
Lead knowledge capture from SMEs, ensure quality governance, and innovate learning lifecycle processes using AI technologies to enhance partner enablement effectiveness.
Bachelor’s degree in Computer Science, Information Systems, Instructional Design, Educational Technology, Data Science, Business Administration, or a related technical/learning discipline.
Demonstrable experience in learning architecture, technical partner enablement, systems engineering, technical marketing, knowledge management, or a related field supporting enterprise technology solutions such as storage, cloud, cybersecurity, AI, or data platforms.
Proven track record of enabling global partner ecosystems across multiple routes to market.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in designing modular, reusable, and AI-ready learning content architectures tailored for diverse partner personas including Account Executives, Systems Engineers, and Solution Architects.
Strong systems thinker with ability to capture and distill technical and competitive knowledge through collaboration with senior technical SMEs in a matrixed global environment.
Skilled in leveraging emerging AI technologies like Retrieval-Augmented Generation (RAG), semantic search, and conversational AI to innovate partner readiness and learning delivery.